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Peng P, Yu H, Xian M, Qu C, Guo Z, Li S, Zhu Z, Xiao J. Preparation of Acetylcholinesterase Inhibitory Peptides from Yellowfin Tuna Pancreas Using Moderate Ultrasound-Assisted Enzymatic Hydrolysis. Mar Drugs 2025; 23:75. [PMID: 39997199 PMCID: PMC11857449 DOI: 10.3390/md23020075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2025] [Revised: 02/03/2025] [Accepted: 02/06/2025] [Indexed: 02/26/2025] Open
Abstract
Bioactive peptides represent a promising therapeutic approach for Alzheimer's disease (AD) by maintaining cholinergic system homeostasis through the inhibition of acetylcholinesterase (AChE) activity. This study focused on extracting AChE inhibitory peptides from yellowfin tuna pancreas using moderate ultrasound-assisted enzymatic hydrolysis (MUE). Firstly, papain and MUE stood out from five enzymes and four enzymatic hydrolysis methods, respectively, by comparing the degree of hydrolysis and AChE inhibitory activity of different pancreatic protein hydrolysates. Subsequently, the optimal MUE conditions were obtained by single-factor, Plackett-Burman, and response surface methodologies. The pancreatic protein hydrolysate prepared under optimal MUE conditions was then purified by ultrafiltration followed by RP-HPLC, from which a novel AChE inhibitory peptide (LLDF) was identified by LC-MS/MS and virtual screening. LLDF effectively inhibited AChE activity by a competitive inhibition mechanism, with an IC50 of 18.44 ± 0.24 μM. Molecular docking and molecular dynamic simulation revealed that LLDF bound robustly to the active site of AChE via hydrogen bonds. These findings provided a theoretical basis for the valuable use of yellowfin tuna pancreas and introduced a new viewpoint on the potential therapeutic advantages of AChE inhibitory peptides for future AD treatment.
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Affiliation(s)
- Pai Peng
- Hainan Engineering Research Center of Aquatic Resources Efficient Utilization in South China Sea, Key Laboratory of Seafood Processing of Haikou, School of Food Science and Engineering, Hainan University, Haikou 570228, China; (P.P.); (H.Y.); (M.X.); (C.Q.)
| | - Hui Yu
- Hainan Engineering Research Center of Aquatic Resources Efficient Utilization in South China Sea, Key Laboratory of Seafood Processing of Haikou, School of Food Science and Engineering, Hainan University, Haikou 570228, China; (P.P.); (H.Y.); (M.X.); (C.Q.)
| | - Meiting Xian
- Hainan Engineering Research Center of Aquatic Resources Efficient Utilization in South China Sea, Key Laboratory of Seafood Processing of Haikou, School of Food Science and Engineering, Hainan University, Haikou 570228, China; (P.P.); (H.Y.); (M.X.); (C.Q.)
| | - Caiye Qu
- Hainan Engineering Research Center of Aquatic Resources Efficient Utilization in South China Sea, Key Laboratory of Seafood Processing of Haikou, School of Food Science and Engineering, Hainan University, Haikou 570228, China; (P.P.); (H.Y.); (M.X.); (C.Q.)
| | - Zhiqiang Guo
- School of Marine Science and Engineering, Hainan University, Haikou 570228, China;
| | - Shuyi Li
- National R&D Center for Se-Rich Agricultural Products, Processing, Hubei Engineering Research Center for Deep Processing of Green, Se-Rich Agricultural Products, School of Modern Industry for Selenium Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China; (S.L.); (Z.Z.)
| | - Zhenzhou Zhu
- National R&D Center for Se-Rich Agricultural Products, Processing, Hubei Engineering Research Center for Deep Processing of Green, Se-Rich Agricultural Products, School of Modern Industry for Selenium Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China; (S.L.); (Z.Z.)
| | - Juan Xiao
- Hainan Engineering Research Center of Aquatic Resources Efficient Utilization in South China Sea, Key Laboratory of Seafood Processing of Haikou, School of Food Science and Engineering, Hainan University, Haikou 570228, China; (P.P.); (H.Y.); (M.X.); (C.Q.)
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Shalini TS, Prathiviraj R, Senthilraja P. Metagenomic analysis and bioactive profiling of kombucha fermentation: antioxidant, antibacterial activities, and molecular docking insights into gastric cancer therapeutics. Toxicol Res (Camb) 2024; 13:tfae224. [PMID: 39712641 PMCID: PMC11662944 DOI: 10.1093/toxres/tfae224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2024] [Revised: 11/25/2024] [Accepted: 12/13/2024] [Indexed: 12/24/2024] Open
Abstract
Kombucha is fermented and produced with a biofilm called a symbiotic culture of bacteria and yeast, which is drunk all over the world for its beneficial effects on human health and energy levels. The metagenomic study of kombucha frequently detected microorganisms in proteobacteria, firmicutes, and actinobacteria. And also, yeast and fungi are Ascomycota and Basidiomycota is present in green leaf and sugarcane juice fermented kombucha. The kombucha extracts' biological activities were assessed using pH, total phenolic content, antioxidant, antibacterial, and anticancer activity. Fermentation may enhance biological activity and the generation of bioactive substances. These results showed the pH -3.1 ± 0.2 and TPC -0.721 μg/mL of gallic acid equivalent. The antioxidant radicals scavenging activity of kombucha was evaluated by DPPH, ABTS, H2O2 and TAC. The bioactive chemicals identified by FT-IR and HR-LC/MS analysis of Kombucha totaled 45 components. The identified compounds were further move on to perform molecular docking study against gastric cancer target proteins 4H9M, 2DQ7 and 1TVO are binding with Nequinate compounds showing best LibDock scores 105.12, 114.49, and 108.97. So, this study suggests that knowledge can potentially active bioactive compounds are present in kombucha and it's stimulated the mechanism of gastrointestinal transit. Additionally, the metagenomic analysis gives strength to understand the bacterial and fungal distribution and its molecular mechanism from Kombucha.
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Affiliation(s)
| | - Ragothaman Prathiviraj
- Department of Microbiology, Pondicherry University, R.V. Nagar, Kalapet, Puducherry 605014, India
| | - Poomalai Senthilraja
- Department of Bioinformatics, Bharathidasan University, Palkalaiperur, Tiruchirappalli 620024, Tamil Nadu, India
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Liang J, Xu W, Gou F, Qin L, Yang H, Xiao J, Li L, Zhang W, Peng D. Antiviral activity of flavonol against porcine epidemic diarrhea virus. Virology 2024; 597:110128. [PMID: 38861876 DOI: 10.1016/j.virol.2024.110128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 05/20/2024] [Accepted: 05/30/2024] [Indexed: 06/13/2024]
Abstract
Porcine epidemic diarrhea virus (PEDV) remains one of the major causative microorganisms of viral diarrhea in piglets worldwide, with no approved drugs for treatment. We identified a natural molecule, flavonol, which is widely found in tea, vegetables and herbs. Subsequently, the antiviral activity of compound flavonol was evaluated in Vero cells and IPEC-J2 cells, and its anti-PEDV mechanism was analyzed by molecular docking and molecular dynamics. The results showed that flavonol could effectively inhibit viral progeny production, RNA synthesis and protein expression of PEDV strains in a dose-dependent manner. When flavonol was added simultaneously with viral infection in Vero cells, it demonstrated potent anti-PEDV activity by affecting the viral attachment and internalization phases. Similarly, in IPEC-J2 cells, flavonol effectively inhibited PEDV infection at different stages of infection, except for the release phase. Moreover, flavonol mainly interacts with PEDV Mpro through hydrogen bonds and hydrophobic forces, and the complex formed by it has high stability. Importantly, flavonol also showed broad-spectrum activity against other porcine enteric coronaviruses such as TGEV and PDCoV in vitro. These findings suggest that flavonol may exert antiviral effects by interacting with viral Mpro, thereby affecting viral replication. This means that flavonol is expected to become a potential drug to prevent or treat porcine enteric coronavirus.
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Affiliation(s)
- Jixiang Liang
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, Hubei, 430070, People's Republic of China; National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for the Detection of Veterinary Drug Residues in Foods, Huazhong Agricultural University, Wuhan, Hubei, 430070, People's Republic of China
| | - Weihang Xu
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, Hubei, 430070, People's Republic of China
| | - Fang Gou
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, Hubei, 430070, People's Republic of China
| | - Liangni Qin
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, Hubei, 430070, People's Republic of China; National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for the Detection of Veterinary Drug Residues in Foods, Huazhong Agricultural University, Wuhan, Hubei, 430070, People's Republic of China
| | - Hongfei Yang
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, Hubei, 430070, People's Republic of China; National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for the Detection of Veterinary Drug Residues in Foods, Huazhong Agricultural University, Wuhan, Hubei, 430070, People's Republic of China
| | - Jiaxu Xiao
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, Hubei, 430070, People's Republic of China; National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for the Detection of Veterinary Drug Residues in Foods, Huazhong Agricultural University, Wuhan, Hubei, 430070, People's Republic of China
| | - Long Li
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, Hubei, 430070, People's Republic of China; National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for the Detection of Veterinary Drug Residues in Foods, Huazhong Agricultural University, Wuhan, Hubei, 430070, People's Republic of China
| | - Wanpo Zhang
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, Hubei, 430070, People's Republic of China.
| | - Dapeng Peng
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, Hubei, 430070, People's Republic of China; National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for the Detection of Veterinary Drug Residues in Foods, Huazhong Agricultural University, Wuhan, Hubei, 430070, People's Republic of China; Hubei Jiangxia Laboratory, Wuhan, Hubei, 430200, People's Republic of China.
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Yang R, Zhang L, Bu F, Sun F, Cheng B. AI-based prediction of protein-ligand binding affinity and discovery of potential natural product inhibitors against ERK2. BMC Chem 2024; 18:108. [PMID: 38831341 PMCID: PMC11145815 DOI: 10.1186/s13065-024-01219-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Accepted: 05/29/2024] [Indexed: 06/05/2024] Open
Abstract
Determination of protein-ligand binding affinity (PLA) is a key technological tool in hit discovery and lead optimization, which is critical to the drug development process. PLA can be determined directly by experimental methods, but it is time-consuming and costly. In recent years, deep learning has been widely applied to PLA prediction, the key of which lies in the comprehensive and accurate representation of proteins and ligands. In this study, we proposed a multi-modal deep learning model based on the early fusion strategy, called DeepLIP, to improve PLA prediction by integrating multi-level information, and further used it for virtual screening of extracellular signal-regulated protein kinase 2 (ERK2), an ideal target for cancer treatment. Experimental results from model evaluation showed that DeepLIP achieved superior performance compared to state-of-the-art methods on the widely used benchmark dataset. In addition, by combining previously developed machine learning models and molecular dynamics simulation, we screened three novel hits from a drug-like natural product library. These compounds not only had favorable physicochemical properties, but also bound stably to the target protein. We believe they have the potential to serve as starting molecules for the development of ERK2 inhibitors.
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Affiliation(s)
- Ruoqi Yang
- Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250011, China.
- Shandong University of Traditional Chinese Medicine, Jinan, 250355, China.
| | - Lili Zhang
- Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, 250013, China
| | - Fanyou Bu
- Qingdao Municipal Hospital Group, Qingdao, 266000, China
| | - Fuqiang Sun
- Shandong University of Traditional Chinese Medicine, Jinan, 250355, China
| | - Bin Cheng
- Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250011, China.
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Sasikumar DSN, Thiruselvam P, Sundararajan V, Ravindran R, Gunasekaran S, Madathil D, Kaliamurthi S, Peslherbe GH, Selvaraj G, Sudhakaran SL. Insights into dietary phytochemicals targeting Parkinson's disease key genes and pathways: A network pharmacology approach. Comput Biol Med 2024; 172:108195. [PMID: 38460310 DOI: 10.1016/j.compbiomed.2024.108195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 01/26/2024] [Accepted: 02/18/2024] [Indexed: 03/11/2024]
Abstract
Parkinson's disease (PD) is a complex neurological disease associated with the degeneration of dopaminergic neurons. Oxidative stress is a key player in instigating apoptosis in dopaminergic neurons. To improve the survival of neurons many dietary phytochemicals have gathered significant attention recently. Thus, the present study implements a comprehensive network pharmacology approach to unravel the mechanisms of action of dietary phytochemicals that benefit disease management. A literature search was performed to identify ligands (i.e., comprising dietary phytochemicals and Food and Drug Administration pre-approved PD drugs) in the PubMed database. Targets associated with selected ligands were extracted from the search tool for interactions of chemicals (STITCH) database. Then, the construction of a gene-gene interaction (GGI) network, analysis of hub-gene, functional and pathway enrichment, associated transcription factors, miRNAs, ligand-target interaction network, docking were performed using various bioinformatics tools together with molecular dynamics (MD) simulations. The database search resulted in 69 ligands and 144 unique targets. GGI and subsequent topological measures indicate histone acetyltransferase p300 (EP300), mitogen-activated protein kinase 1 (MAPK1) or extracellular signal-regulated kinase (ERK)2, and CREB-binding protein (CREBBP) as hub genes. Neurodegeneration, MAPK signaling, apoptosis, and zinc binding are key pathways and gene ontology terms. hsa-miR-5692a and SCNA gene-associated transcription factors interact with all the 3 hub genes. Ligand-target interaction (LTI) network analysis suggest rasagiline and baicalein as candidate ligands targeting MAPK1. Rasagiline and baicalein form stable complexes with the Y205, K330, and V173 residues of MAPK1. Computational molecular insights suggest that baicalein and rasagiline are promising preclinical candidates for PD management.
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Affiliation(s)
- Devi Soorya Narayana Sasikumar
- Integrative Multiomics Lab, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, TN, 632014, India
| | - Premkumar Thiruselvam
- Integrative Multiomics Lab, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, TN, 632014, India
| | - Vino Sundararajan
- Integrative Multiomics Lab, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, TN, 632014, India
| | - Radhika Ravindran
- Department of Biotechnology, Indian Institute of Technology (Madras), Chennai, TN, 600036, India
| | - Shoba Gunasekaran
- Department of Biotechnology, Dwaraka Doss Goverdhan Doss Vaishnav College, Chennai, TN, 600106, India
| | - Deepa Madathil
- Jindal Institute of Behavioral Sciences, O.P Jindal Global University, Sonipat, Haryana, 131001, India
| | - Satyavani Kaliamurthi
- Centre for Research in Molecular Modeling (CERMM), Department of Chemistry and Biochemistry, Concordia University, Loyola Campus, Montreal, QC, H4B 1R6, Canada
| | - Gilles H Peslherbe
- Centre for Research in Molecular Modeling (CERMM), Department of Chemistry and Biochemistry, Concordia University, Loyola Campus, Montreal, QC, H4B 1R6, Canada
| | - Gurudeeban Selvaraj
- Centre for Research in Molecular Modeling (CERMM), Department of Chemistry and Biochemistry, Concordia University, Loyola Campus, Montreal, QC, H4B 1R6, Canada; Bioinformatics Unit, Department of Biomaterials, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS) University, Chennai, TN, 600077, India.
| | - Sajitha Lulu Sudhakaran
- Integrative Multiomics Lab, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, TN, 632014, India.
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Gong M, Xia X, Chen D, Ren Y, Liu Y, Xiang H, Li X, Zhi Y, Mo Y. Antiviral activity of chrysin and naringenin against porcine epidemic diarrhea virus infection. Front Vet Sci 2023; 10:1278997. [PMID: 38130439 PMCID: PMC10733469 DOI: 10.3389/fvets.2023.1278997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 11/23/2023] [Indexed: 12/23/2023] Open
Abstract
Porcine epidemic diarrhea virus (PEDV) is one of the critical pathogens causing diarrhea in piglets and has caused huge economic losses to the swine industry in worldwide. However, there is currently no effective therapeutic medication available for the treatment of PEDV. Natural compounds are a hot topic for researching and screening antiviral lead compounds due to their abundant sources, varied activities, and low toxicity. In this study, a total of 6 compounds from different plant sources were selected for in vitro anti-PEDV screening, including chrysin, naringenin, soy isoflavone, glycyrrhetinic acid, oleanolic acid, and geniposide. Then two active compounds, chrysin and naringenin, were further evaluated on PEDV infected cells at different stage. And the anti-PEDV mechanism was analyzed by molecule docking and molecular dynamics. The results showed that both chrysin and naringenin showed the most significant anti-PEDV activity by increasing the cell viability and decreasing the virus copy number. Both natural compounds could inhibit viral titer, mRNA and protein levels in the prophylactic and post-viral entry stages of PEDV infection. Furthermore, chrysin and naringenin mainly interacted with viral replicase proteins such as 3CLpro and PLP-2 through hydrogen bonds and hydrophobic forces. The complexes formed by chrysin and naringenin with the two PEDV replication proteases had high stability. These results suggested that chrysin and naringenin may exert antiviral effects by interacting with the virus 3CLpro protein or PLP2 protein, thereby affecting their role in the formation of PEDV non-structural proteins or interfering with virus replication. This study lays the foundation for developing chrysin and naringenin as novel anti-PEDV therapeutic drugs.
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Affiliation(s)
- Mengfei Gong
- College of Animal Science and Veterinary Medicine, Southwest Minzu University, Chengdu, China
| | - Xuemei Xia
- College of Animal Science and Veterinary Medicine, Southwest Minzu University, Chengdu, China
| | - Dishi Chen
- Center for Animal Disease Prevention and Control, Chengdu, China
| | - Yupeng Ren
- College of Animal Science and Veterinary Medicine, Southwest Minzu University, Chengdu, China
| | - Yutong Liu
- College of Animal Science and Veterinary Medicine, Southwest Minzu University, Chengdu, China
| | - Hua Xiang
- College of Animal Science and Veterinary Medicine, Southwest Minzu University, Chengdu, China
| | - Xiaohuan Li
- Agricultural and Rural Bureau of Shizhong District, Leshan, China
| | - Yupeng Zhi
- College of Animal Science and Veterinary Medicine, Southwest Minzu University, Chengdu, China
| | - Yu Mo
- College of Animal Science and Veterinary Medicine, Southwest Minzu University, Chengdu, China
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